from collections.abc import Sequence




def 							UpperCamelCase		(			__lowercase		:					Sequence[float]		,__lowercase		:					bool = False      ):
		'''simple docstring'''




		if not arr:
				return 0

		A_						:							Any      = 0 if allow_empty_subarrays else float('-inf'      )
		A_						:							Optional[Any]      = 0.0
		for num in arr:
				A_						:							Dict      = max(0 if allow_empty_subarrays else num		,curr_sum + num      )
				A_						:							int      = max(__lowercase		,__lowercase      )

		return max_sum


if __name__ == "__main__":
	from doctest import testmod

	testmod()

	_UpperCAmelCase          =						[-2, 1, -3, 4, -1, 2, 1, -5, 4]
	print(F"""{max_subarray_sum(nums) = }""")







from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_UpperCAmelCase          =						logging.get_logger(__name__)

_UpperCAmelCase          =						{
    """xlm-roberta-base""": """https://huggingface.co/xlm-roberta-base/resolve/main/config.json""",
    """xlm-roberta-large""": """https://huggingface.co/xlm-roberta-large/resolve/main/config.json""",
    """xlm-roberta-large-finetuned-conll02-dutch""": (
        """https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/config.json"""
    ),
    """xlm-roberta-large-finetuned-conll02-spanish""": (
        """https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/config.json"""
    ),
    """xlm-roberta-large-finetuned-conll03-english""": (
        """https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/config.json"""
    ),
    """xlm-roberta-large-finetuned-conll03-german""": (
        """https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/config.json"""
    ),
}





class UpperCAmelCase		(   __A    ):


				'''simple docstring'''






				lowerCamelCase_        =   '''xlm-roberta'''
				def __init__(		self						,      lowercase=3_0_5_2_2						,      lowercase=7_6_8						,      lowercase=1_2						,      lowercase=1_2						,      lowercase=3_0_7_2						,      lowercase="gelu"						,      lowercase=0.1						,      lowercase=0.1						,      lowercase=5_1_2						,      lowercase=2						,      lowercase=0.02						,      lowercase=1E-12						,      lowercase=1						,      lowercase=0						,      lowercase=2						,      lowercase="absolute"						,      lowercase=True						,      lowercase=None						,      **lowercase						,      ):



						"""simple docstring"""





						super().__init__(pad_token_id=lowercase						,      bos_token_id=lowercase						,      eos_token_id=lowercase						,      **lowercase   )

						A_						:							Union[str, Any]      = vocab_size
						A_						:							int      = hidden_size
						A_						:							Dict      = num_hidden_layers
						A_						:							List[str]      = num_attention_heads
						A_						:							Tuple      = hidden_act
						A_						:							Optional[int]      = intermediate_size
						A_						:							Any      = hidden_dropout_prob
						A_						:							Tuple      = attention_probs_dropout_prob
						A_						:							int      = max_position_embeddings
						A_						:							Union[str, Any]      = type_vocab_size
						A_						:							List[str]      = initializer_range
						A_						:							Tuple      = layer_norm_eps
						A_						:							str      = position_embedding_type
						A_						:							Any      = use_cache
						A_						:							str      = classifier_dropout





class UpperCAmelCase		(   __A    ):


				'''simple docstring'''






				@property
				def     lowerCAmelCase_  (		self   ):



						"""simple docstring"""





						if self.task == "multiple-choice":
								A_						:							Union[str, Any]      = {0: 'batch', 1: 'choice', 2: 'sequence'}
						else:
								A_						:							str      = {0: 'batch', 1: 'sequence'}
						return OrderedDict(
						    [
						        ('input_ids', dynamic_axis),
						        ('attention_mask', dynamic_axis),
						    ]   )






